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ORIGINAL ARTICLE
Year : 2013  |  Volume : 1  |  Issue : 1  |  Page : 48-53

Organizing and policy-making as a key factor to establish hospital clinical risk management system


1 Health Management and Economic Research Center, Medical Sciences University of Isfahan, Isfahan, Iran
2 Health Services Administration Department, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
3 Department of Health Service Management, University of Medical Science, Isfahan, Iran

Correspondence Address:
Marzieh Javadi
Health Management and Economic Research Center, Isfahan University of Medical Sciences, Isfahan
Iran
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Source of Support: Health management and economic researches Centre. Medical University of Isfahan Iran, Conflict of Interest: None


DOI: 10.4103/2347-9019.122459

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Background and Aim: It is impossible to deny the threats and risks endangering the process of health care when offering the services. Confirming this fact does not mean ignorance the risk, or allowance to medical and nursing mistakes to happen; however, it can mean approaching the problem to come up with practical solutions and minimize the risks in the process of providing health care services. The present study was conducted periodically as an applied multi-stage research. Materials and Methods: To do a model of clinical risk management, different authentic texts on risk management in health sector were reviewed focusing on the models available. All such models were tabulated, analyzed and compared together which resulted 62 primary variables. The variables were, then, validated being used in a questionnaire responded by 20 nurses and doctors which, this time, produced a confirmed questionnaire of 40 variables. After that, 215 subjects chosen through a random and a stratified sampling were asked to respond to that questionnaire, making an exploratory factor analysis as well. Results: This study was done ,using principal components analysis as with a rotation of Varimax loadings showed a variety of factors (19 factors) available in the models of clinical risk management were loaded as "organizing and policy-making" factor. This factor illuminated a sum of 25.3% of variances in the model of clinical risk management. The results also showed the loading factor of variables as among 0.5 and 0.7 which indicated a fine correlation among them and the participants' view. Conclusion: It was concluded that "the best care of the patient is accepted as a common perspective in organization" and "the effect of the treatment team's clinical performance on their financial payments" are the most and the least important variables respectively with 0.739 and 0.548 as factor load.


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